119 lines
4.0 KiB
Python
119 lines
4.0 KiB
Python
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import cv2
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import os
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import os.path as osp
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import torch
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from torch.hub import download_url_to_file, get_dir
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from urllib.parse import urlparse
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ROOT_DIR = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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def imwrite(img, file_path, params=None, auto_mkdir=True):
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"""Write image to file.
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Args:
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img (ndarray): Image array to be written.
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file_path (str): Image file path.
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params (None or list): Same as opencv's :func:`imwrite` interface.
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auto_mkdir (bool): If the parent folder of `file_path` does not exist,
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whether to create it automatically.
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Returns:
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bool: Successful or not.
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"""
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if auto_mkdir:
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dir_name = os.path.abspath(os.path.dirname(file_path))
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os.makedirs(dir_name, exist_ok=True)
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return cv2.imwrite(file_path, img, params)
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def img2tensor(imgs, bgr2rgb=True, float32=True):
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"""Numpy array to tensor.
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Args:
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imgs (list[ndarray] | ndarray): Input images.
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bgr2rgb (bool): Whether to change bgr to rgb.
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float32 (bool): Whether to change to float32.
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Returns:
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list[tensor] | tensor: Tensor images. If returned results only have
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one element, just return tensor.
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"""
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def _totensor(img, bgr2rgb, float32):
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if img.shape[2] == 3 and bgr2rgb:
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if img.dtype == 'float64':
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img = img.astype('float32')
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img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
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img = torch.from_numpy(img.transpose(2, 0, 1))
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if float32:
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img = img.float()
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return img
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if isinstance(imgs, list):
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return [_totensor(img, bgr2rgb, float32) for img in imgs]
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else:
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return _totensor(imgs, bgr2rgb, float32)
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def load_file_from_url(url, model_dir=None, progress=True, file_name=None, save_dir=None):
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"""Ref:https://github.com/1adrianb/face-alignment/blob/master/face_alignment/utils.py
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"""
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if model_dir is None:
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hub_dir = get_dir()
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model_dir = os.path.join(hub_dir, 'checkpoints')
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if save_dir is None:
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save_dir = os.path.join(ROOT_DIR, model_dir)
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os.makedirs(save_dir, exist_ok=True)
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parts = urlparse(url)
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filename = os.path.basename(parts.path)
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if file_name is not None:
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filename = file_name
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cached_file = os.path.abspath(os.path.join(save_dir, filename))
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if not os.path.exists(cached_file):
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print(f'Downloading: "{url}" to {cached_file}\n')
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download_url_to_file(url, cached_file, hash_prefix=None, progress=progress)
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return cached_file
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def scandir(dir_path, suffix=None, recursive=False, full_path=False):
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"""Scan a directory to find the interested files.
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Args:
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dir_path (str): Path of the directory.
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suffix (str | tuple(str), optional): File suffix that we are
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interested in. Default: None.
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recursive (bool, optional): If set to True, recursively scan the
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directory. Default: False.
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full_path (bool, optional): If set to True, include the dir_path.
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Default: False.
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Returns:
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A generator for all the interested files with relative paths.
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"""
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if (suffix is not None) and not isinstance(suffix, (str, tuple)):
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raise TypeError('"suffix" must be a string or tuple of strings')
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root = dir_path
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def _scandir(dir_path, suffix, recursive):
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for entry in os.scandir(dir_path):
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if not entry.name.startswith('.') and entry.is_file():
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if full_path:
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return_path = entry.path
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else:
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return_path = osp.relpath(entry.path, root)
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if suffix is None:
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yield return_path
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elif return_path.endswith(suffix):
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yield return_path
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else:
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if recursive:
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yield from _scandir(entry.path, suffix=suffix, recursive=recursive)
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else:
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continue
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return _scandir(dir_path, suffix=suffix, recursive=recursive)
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